Games Flattened and Cleaned

Dataset statistics

Number of variables	10
Number of observations	7143
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.5 MiB
Average record size in memory	220.0 B

Variable types

Numeric	8
Categorical	2

Alerts

`Name` has a high cardinality: 7079 distinct values	High cardinality
`BGGId` is highly correlated with `YearPublished` and 1 other fields	High correlation
`YearPublished` is highly correlated with `BGGId` and 1 other fields	High correlation
`MfgPlaytime` is highly correlated with `MfgAgeRec`	High correlation
`AvgRating` is highly correlated with `BGGId` and 1 other fields	High correlation
`MfgAgeRec` is highly correlated with `MfgPlaytime`	High correlation
`BGGId` is highly correlated with `AvgRating`	High correlation
`MfgPlaytime` is highly correlated with `MfgAgeRec`	High correlation
`AvgRating` is highly correlated with `BGGId`	High correlation
`MfgAgeRec` is highly correlated with `MfgPlaytime`	High correlation
`BGGId` is highly correlated with `YearPublished`	High correlation
`YearPublished` is highly correlated with `BGGId`	High correlation
`BGGId` is highly correlated with `AvgRating`	High correlation
`Category` is highly correlated with `MfgPlaytime` and 2 other fields	High correlation
`MfgPlaytime` is highly correlated with `Category` and 1 other fields	High correlation
`MinPlayers` is highly correlated with `MaxPlayers`	High correlation
`MaxPlayers` is highly correlated with `Category` and 1 other fields	High correlation
`AvgRating` is highly correlated with `BGGId`	High correlation
`MfgAgeRec` is highly correlated with `Category` and 1 other fields	High correlation
`YearPublished` is highly skewed (γ1 = -27.68411069)	Skewed
`Name` is uniformly distributed	Uniform
`BGGId` has unique values	Unique

Reproduction

Analysis started	2022-02-17 19:04:08.869143
Analysis finished	2022-02-17 19:04:18.876354
Duration	10.01 seconds
Software version	pandas-profiling v3.1.1
Download configuration	config.json

BGGId
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct	7143
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	83656.89626

Minimum	2
Maximum	346703
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	118.6 KiB

Quantile statistics

Minimum	2
5-th percentile	840.7
Q1	6926.5
median	34373
Q3	155847
95-th percentile	264237.1
Maximum	346703
Range	346701
Interquartile range (IQR)	148920.5

Descriptive statistics

Standard deviation	91790.18935
Coefficient of variation (CV)	1.097222028
Kurtosis	-0.5634870771
Mean	83656.89626
Median Absolute Deviation (MAD)	32674
Skewness	0.871992766
Sum	597561210
Variance	8425438861
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	1	< 0.1%
31	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%
11	1	< 0.1%
12	1	< 0.1%
16	1	< 0.1%
17	1	< 0.1%
19	1	< 0.1%
Other values (7133)	7133	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	< 0.1%
3	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%
11	1	< 0.1%
12	1	< 0.1%
16	1	< 0.1%
17	1	< 0.1%

Value	Count	Frequency (%)
346703	1	< 0.1%
343562	1	< 0.1%
342942	1	< 0.1%
339214	1	< 0.1%
338628	1	< 0.1%
337787	1	< 0.1%
335609	1	< 0.1%
335275	1	< 0.1%
332944	1	< 0.1%
330145	1	< 0.1%

Name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	7079
Distinct (%)	99.1%
Missing	0
Missing (%)	0.0%
Memory size	591.0 KiB

Quantum	3
Samurai	3
Around the World in 80 Days	3
Crossfire	2
Richelieu	2
Other values (7074)	7130

Length

Max length	107
Median length	14
Mean length	18.11591768
Min length	1

Characters and Unicode

Total characters	129402
Distinct characters	129
Distinct categories	14 ?
Distinct scripts	4 ?
Distinct blocks	5 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7018 ?
Unique (%)	98.3%

Sample

1st row	Dragonmaster
2nd row	Samurai
3rd row	Acquire
4th row	Cathedral
5th row	El Caballero

Common Values

Value	Count	Frequency (%)
Quantum	3	< 0.1%
Samurai	3	< 0.1%
Around the World in 80 Days	3	< 0.1%
Crossfire	2	< 0.1%
Richelieu	2	< 0.1%
Buffy the Vampire Slayer: The Board Game	2	< 0.1%
Touché	2	< 0.1%
Equinox	2	< 0.1%
Coup	2	< 0.1%
Hellas	2	< 0.1%
Other values (7069)	7120	99.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	1477	7.0%
of	832	3.9%
game	409	1.9%
war	231	1.1%
	200	0.9%
in	196	0.9%
edition	150	0.7%
battle	142	0.7%
a	130	0.6%
card	122	0.6%
Other values (7344)	17301	81.6%

Most occurring characters

Value	Count	Frequency (%)
	14071	10.9%
e	11426	8.8%
a	9702	7.5%
o	7514	5.8%
r	7434	5.7%
i	6821	5.3%
n	6590	5.1%
t	6546	5.1%
s	5336	4.1%
l	4499	3.5%
Other values (119)	49463	38.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	90420	69.9%
Uppercase Letter	18787	14.5%
Space Separator	14071	10.9%
Other Punctuation	2952	2.3%
Decimal Number	2538	2.0%
Dash Punctuation	432	0.3%
Open Punctuation	92	0.1%
Close Punctuation	92	0.1%
Math Symbol	5	< 0.1%
Currency Symbol	5	< 0.1%
Other values (4)	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	11426	12.6%
a	9702	10.7%
o	7514	8.3%
r	7434	8.2%
i	6821	7.5%
n	6590	7.3%
t	6546	7.2%
s	5336	5.9%
l	4499	5.0%
h	3296	3.6%
Other values (43)	21256	23.5%

Uppercase Letter

Value	Count	Frequency (%)
T	1853	9.9%
C	1639	8.7%
S	1621	8.6%
B	1217	6.5%
A	1168	6.2%
D	1088	5.8%
G	1080	5.7%
M	1073	5.7%
W	971	5.2%
R	869	4.6%
Other values (25)	6208	33.0%

Other Punctuation

Value	Count	Frequency (%)
:	1612	54.6%
!	353	12.0%
'	342	11.6%
,	224	7.6%
&	186	6.3%
.	161	5.5%
?	42	1.4%
/	15	0.5%
#	6	0.2%
"	4	0.1%
Other values (5)	7	0.2%

Decimal Number

Value	Count	Frequency (%)
1	676	26.6%
4	309	12.2%
0	303	11.9%
9	301	11.9%
2	190	7.5%
8	179	7.1%
5	178	7.0%
6	142	5.6%
3	139	5.5%
7	121	4.8%

Other Letter

Value	Count	Frequency (%)
會	1	25.0%
議	1	25.0%
事	1	25.0%
豬	1	25.0%

Dash Punctuation

Value	Count	Frequency (%)
-	337	78.0%
–	95	22.0%

Open Punctuation

Value	Count	Frequency (%)
(	91	98.9%
[	1	1.1%

Close Punctuation

Value	Count	Frequency (%)
)	91	98.9%
]	1	1.1%

Space Separator

Value	Count	Frequency (%)
	14071	100.0%

Math Symbol

Value	Count	Frequency (%)
+	5	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	5	100.0%

Other Number

Value	Count	Frequency (%)
₂	2	100.0%

Nonspacing Mark

Value	Count	Frequency (%)
́	1	100.0%

Initial Punctuation

Value	Count	Frequency (%)
‘	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	109207	84.4%
Common	20190	15.6%
Han	4	< 0.1%
Inherited	1	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	11426	10.5%
a	9702	8.9%
o	7514	6.9%
r	7434	6.8%
i	6821	6.2%
n	6590	6.0%
t	6546	6.0%
s	5336	4.9%
l	4499	4.1%
h	3296	3.0%
Other values (78)	40043	36.7%

Common

Value	Count	Frequency (%)
	14071	69.7%
:	1612	8.0%
1	676	3.3%
!	353	1.7%
'	342	1.7%
-	337	1.7%
4	309	1.5%
0	303	1.5%
9	301	1.5%
,	224	1.1%
Other values (26)	1662	8.2%

Han

Value	Count	Frequency (%)
會	1	25.0%
議	1	25.0%
事	1	25.0%
豬	1	25.0%

Inherited

Value	Count	Frequency (%)
́	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	129098	99.8%
None	203	0.2%
Punctuation	96	0.1%
CJK	4	< 0.1%
Diacriticals	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	14071	10.9%
e	11426	8.9%
a	9702	7.5%
o	7514	5.8%
r	7434	5.8%
i	6821	5.3%
n	6590	5.1%
t	6546	5.1%
s	5336	4.1%
l	4499	3.5%
Other values (72)	49159	38.1%

Punctuation

Value	Count	Frequency (%)
–	95	99.0%
‘	1	1.0%

None

Value	Count	Frequency (%)
é	36	17.7%
ü	34	16.7%
ä	33	16.3%
ö	19	9.4%
ó	8	3.9%
ñ	8	3.9%
í	7	3.4%
à	6	3.0%
á	5	2.5%
ß	4	2.0%
Other values (30)	43	21.2%

Diacriticals

Value	Count	Frequency (%)
́	1	100.0%

CJK

Value	Count	Frequency (%)
會	1	25.0%
議	1	25.0%
事	1	25.0%
豬	1	25.0%

YearPublished
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct	145
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1996.236175

Minimum	-3500
Maximum	2021
Zeros	0
Zeros (%)	0.0%
Negative	8
Negative (%)	0.1%
Memory size	118.6 KiB

Quantile statistics

Minimum	-3500
5-th percentile	1974
Q1	1997
median	2008
Q3	2014
95-th percentile	2019
Maximum	2021
Range	5521
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	143.2202348
Coefficient of variation (CV)	0.07174513544
Kurtosis	872.0692842
Mean	1996.236175
Median Absolute Deviation (MAD)	8
Skewness	-27.68411069
Sum	14259115
Variance	20512.03564
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2015	339	4.7%
2017	306	4.3%
2016	296	4.1%
2013	292	4.1%
2010	290	4.1%
2012	289	4.0%
2018	282	3.9%
2009	282	3.9%
2014	282	3.9%
2019	267	3.7%
Other values (135)	4218	59.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-3500	1	< 0.1%
-3000	1	< 0.1%
-2600	1	< 0.1%
-2200	1	< 0.1%
-1400	2	< 0.1%
-200	1	< 0.1%
-100	1	< 0.1%
400	1	< 0.1%
550	2	< 0.1%
700	2	< 0.1%

Value	Count	Frequency (%)
2021	77	1.1%
2020	162	2.3%
2019	267	3.7%
2018	282	3.9%
2017	306	4.3%
2016	296	4.1%
2015	339	4.7%
2014	282	3.9%
2013	292	4.1%
2012	289	4.0%

Category
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	497.0 KiB

War	1634
Strategy	1429
Family	1408
Abstract	776
Childrens	692
Other values (3)	1204

Length

Max length	9
Median length	6
Mean length	6.253114938
Min length	3

Characters and Unicode

Total characters	44666
Distinct characters	23
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Strategy
2nd row	Strategy
3rd row	Strategy
4th row	Abstract
5th row	Strategy

Common Values

Value	Count	Frequency (%)
War	1634	22.9%
Strategy	1429	20.0%
Family	1408	19.7%
Abstract	776	10.9%
Childrens	692	9.7%
Thematic	616	8.6%
Party	378	5.3%
CGS	210	2.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
war	1634	22.9%
strategy	1429	20.0%
family	1408	19.7%
abstract	776	10.9%
childrens	692	9.7%
thematic	616	8.6%
party	378	5.3%
cgs	210	2.9%

Most occurring characters

Value	Count	Frequency (%)
a	6241	14.0%
t	5404	12.1%
r	4909	11.0%
y	3215	7.2%
e	2737	6.1%
i	2716	6.1%
l	2100	4.7%
m	2024	4.5%
S	1639	3.7%
W	1634	3.7%
Other values (13)	12047	27.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	37103	83.1%
Uppercase Letter	7563	16.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	6241	16.8%
t	5404	14.6%
r	4909	13.2%
y	3215	8.7%
e	2737	7.4%
i	2716	7.3%
l	2100	5.7%
m	2024	5.5%
s	1468	4.0%
g	1429	3.9%
Other values (5)	4860	13.1%

Uppercase Letter

Value	Count	Frequency (%)
S	1639	21.7%
W	1634	21.6%
F	1408	18.6%
C	902	11.9%
A	776	10.3%
T	616	8.1%
P	378	5.0%
G	210	2.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	44666	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	6241	14.0%
t	5404	12.1%
r	4909	11.0%
y	3215	7.2%
e	2737	6.1%
i	2716	6.1%
l	2100	4.7%
m	2024	4.5%
S	1639	3.7%
W	1634	3.7%
Other values (13)	12047	27.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	44666	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	6241	14.0%
t	5404	12.1%
r	4909	11.0%
y	3215	7.2%
e	2737	6.1%
i	2716	6.1%
l	2100	4.7%
m	2024	4.5%
S	1639	3.7%
W	1634	3.7%
Other values (13)	12047	27.0%

MfgPlaytime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	38
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	65.68038639

Minimum	1
Maximum	200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	118.6 KiB

Quantile statistics

Minimum	1
5-th percentile	15
Q1	30
median	50
Q3	90
95-th percentile	180
Maximum	200
Range	199
Interquartile range (IQR)	60

Descriptive statistics

Standard deviation	48.24360225
Coefficient of variation (CV)	0.7345206827
Kurtosis	0.01787412507
Mean	65.68038639
Median Absolute Deviation (MAD)	30
Skewness	0.9697862874
Sum	469155
Variance	2327.445159
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
30	1183	16.6%
60	1090	15.3%
120	966	13.5%
90	720	10.1%
45	698	9.8%
20	693	9.7%
180	518	7.3%
15	391	5.5%
10	296	4.1%
40	149	2.1%
Other values (28)	439	6.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	5	0.1%
2	1	< 0.1%
4	2	< 0.1%
5	36	0.5%
7	1	< 0.1%
10	296	4.1%
12	1	< 0.1%
13	1	< 0.1%
15	391	5.5%
20	693	9.7%

Value	Count	Frequency (%)
200	9	0.1%
180	518	7.3%
165	1	< 0.1%
150	96	1.3%
140	5	0.1%
135	2	< 0.1%
125	1	< 0.1%
120	966	13.5%
115	2	< 0.1%
110	2	< 0.1%

MinPlayers
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.959400812

Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	118.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	2
Q3	2
95-th percentile	3
Maximum	8
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.598493656
Coefficient of variation (CV)	0.3054472839
Kurtosis	7.339589686
Mean	1.959400812
Median Absolute Deviation (MAD)	0
Skewness	1.155103852
Sum	13996
Variance	0.3581946563
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2	5147	72.1%
1	1222	17.1%
3	645	9.0%
4	112	1.6%
5	11	0.2%
8	3	< 0.1%
6	3	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1222	17.1%
2	5147	72.1%
3	645	9.0%
4	112	1.6%
5	11	0.2%
6	3	< 0.1%
8	3	< 0.1%

Value	Count	Frequency (%)
8	3	< 0.1%
6	3	< 0.1%
5	11	0.2%
4	112	1.6%
3	645	9.0%
2	5147	72.1%
1	1222	17.1%

MaxPlayers
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	18
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.320593588

Minimum	1
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	118.6 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	4
Q3	5
95-th percentile	8
Maximum	20
Range	19
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.274369897
Coefficient of variation (CV)	0.526402183
Kurtosis	8.926887386
Mean	4.320593588
Median Absolute Deviation (MAD)	2
Skewness	2.057022232
Sum	30862
Variance	5.172758427
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
4	2340	32.8%
2	1880	26.3%
5	1032	14.4%
6	1022	14.3%
8	299	4.2%
3	120	1.7%
1	115	1.6%
10	102	1.4%
7	93	1.3%
12	67	0.9%
Other values (8)	73	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	115	1.6%
2	1880	26.3%
3	120	1.7%
4	2340	32.8%
5	1032	14.4%
6	1022	14.3%
7	93	1.3%
8	299	4.2%
9	17	0.2%
10	102	1.4%

Value	Count	Frequency (%)
20	18	0.3%
18	8	0.1%
16	15	0.2%
15	8	0.1%
14	2	< 0.1%
13	4	0.1%
12	67	0.9%
11	1	< 0.1%
10	102	1.4%
9	17	0.2%

AvgRating
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	489
Distinct (%)	6.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.522428951

Minimum	2.08
Maximum	9.14
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	118.6 KiB

Quantile statistics

Minimum	2.08
5-th percentile	5.04
Q1	6.01
median	6.56
Q3	7.11
95-th percentile	7.81
Maximum	9.14
Range	7.06
Interquartile range (IQR)	1.1

Descriptive statistics

Standard deviation	0.8482118967
Coefficient of variation (CV)	0.1300454023
Kurtosis	0.5259198637
Mean	6.522428951
Median Absolute Deviation (MAD)	0.55
Skewness	-0.4183916488
Sum	46589.71
Variance	0.7194634217
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.73	51	0.7%
6.58	49	0.7%
6.71	46	0.6%
6.43	46	0.6%
6.72	45	0.6%
6.55	44	0.6%
6.37	44	0.6%
6.62	42	0.6%
6.44	42	0.6%
6.67	42	0.6%
Other values (479)	6692	93.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.08	1	< 0.1%
2.79	1	< 0.1%
2.87	1	< 0.1%
2.93	1	< 0.1%
3.11	1	< 0.1%
3.19	1	< 0.1%
3.33	1	< 0.1%
3.34	1	< 0.1%
3.38	2	< 0.1%
3.44	2	< 0.1%

Value	Count	Frequency (%)
9.14	1	< 0.1%
8.92	1	< 0.1%
8.88	1	< 0.1%
8.87	1	< 0.1%
8.85	1	< 0.1%
8.84	1	< 0.1%
8.83	1	< 0.1%
8.81	1	< 0.1%
8.79	2	< 0.1%
8.78	1	< 0.1%

MfgAgeRec
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	18
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.25171497

Minimum	2
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	118.6 KiB

Quantile statistics

Minimum	2
5-th percentile	5
Q1	8
median	10
Q3	12
95-th percentile	14
Maximum	21
Range	19
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.737038048
Coefficient of variation (CV)	0.2669834322
Kurtosis	-0.1664961678
Mean	10.25171497
Median Absolute Deviation (MAD)	2
Skewness	-0.4180382683
Sum	73228
Variance	7.491377274
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
12	2124	29.7%
10	1423	19.9%
8	1285	18.0%
14	636	8.9%
13	438	6.1%
7	277	3.9%
6	274	3.8%
5	193	2.7%
4	157	2.2%
9	107	1.5%
Other values (8)	229	3.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	8	0.1%
3	71	1.0%
4	157	2.2%
5	193	2.7%
6	274	3.8%
7	277	3.9%
8	1285	18.0%
9	107	1.5%
10	1423	19.9%
11	32	0.4%

Value	Count	Frequency (%)
21	1	< 0.1%
18	25	0.3%
17	13	0.2%
16	35	0.5%
15	44	0.6%
14	636	8.9%
13	438	6.1%
12	2124	29.7%
11	32	0.4%
10	1423	19.9%

NumUserRatings
Real number (ℝ_≥0)

Distinct	2574
Distinct (%)	36.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1748.573009

Minimum	30
Maximum	107937
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	118.6 KiB

Quantile statistics

Minimum	30
5-th percentile	37
Q1	97
median	356
Q3	1232
95-th percentile	7809.8
Maximum	107937
Range	107907
Interquartile range (IQR)	1135

Descriptive statistics

Standard deviation	5106.253376
Coefficient of variation (CV)	2.920240305
Kurtosis	92.58596226
Mean	1748.573009
Median Absolute Deviation (MAD)	304
Skewness	8.007539833
Sum	12490057
Variance	26073823.54
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
31	63	0.9%
30	59	0.8%
34	50	0.7%
40	49	0.7%
44	48	0.7%
32	48	0.7%
43	48	0.7%
36	45	0.6%
33	43	0.6%
37	42	0.6%
Other values (2564)	6648	93.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
30	59	0.8%
31	63	0.9%
32	48	0.7%
33	43	0.6%
34	50	0.7%
35	35	0.5%
36	45	0.6%
37	42	0.6%
38	34	0.5%
39	39	0.5%

Value	Count	Frequency (%)
107937	1	< 0.1%
81131	1	< 0.1%
75531	1	< 0.1%
73522	1	< 0.1%
73093	1	< 0.1%
68294	1	< 0.1%
65810	1	< 0.1%
65187	1	< 0.1%
63986	1	< 0.1%
63779	1	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	BGGId	Name	YearPublished	Category	MfgPlaytime	MinPlayers	MaxPlayers	AvgRating	MfgAgeRec	NumUserRatings
0	2	Dragonmaster	1981	Strategy	30	3	4	6.65	12	562
1	3	Samurai	1998	Strategy	60	2	4	7.46	10	15146
2	5	Acquire	1964	Strategy	90	2	6	7.34	12	18655
3	7	Cathedral	1978	Abstract	20	2	2	6.52	8	3320
4	9	El Caballero	1998	Strategy	90	2	4	6.45	13	1389
5	10	Elfenland	1998	Family	60	2	6	6.7	10	8324
6	11	Bohnanza	1997	Family	45	2	7	7.04	13	39886
7	12	Ra	1999	Strategy	60	2	5	7.48	12	19685
8	16	MarraCash	1996	Strategy	60	3	4	6.83	12	964
9	17	Button Men	1999	CGS	5	2	2	6.37	10	804

Last rows

	BGGId	Name	YearPublished	Category	MfgPlaytime	MinPlayers	MaxPlayers	AvgRating	MfgAgeRec	NumUserRatings
7133	330145	La Guerra de la Triple Alianza	2021	War	150	2	2	7.69	14	38
7134	332944	Sobek: 2 Players	2021	Family	20	2	2	7.25	10	300
7135	335275	Whirling Witchcraft	2021	Family	30	2	5	7.28	14	312
7136	335609	TEN	2021	Family	30	1	5	7.15	10	451
7137	337787	Summer Camp	2021	Family	45	2	4	7.42	10	445
7138	338628	TRAILS	2021	Family	40	2	4	7.29	10	554
7139	339214	HIT !	2021	Family	20	2	5	7.33	8	31
7140	342942	Ark Nova	2021	Strategy	150	1	4	8.48	14	618
7141	343562	Horrified: American Monsters	2021	Strategy	60	1	5	7.87	10	334
7142	346703	7 Wonders: Architects	2021	Family	25	2	7	7.22	8	949

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number

Other Letter

Dash Punctuation

Open Punctuation

Close Punctuation

Space Separator

Math Symbol

Currency Symbol

Other Number

Nonspacing Mark

Initial Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Han

Inherited

Most occurring blocks

Most frequent character per block

ASCII

Punctuation

None

Diacriticals

CJK

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Phik (φk)

Missing values

Sample

First rows

Last rows